The LMU Munich Unsupervised Machine Translation Systems

Dario Stojanovski, Viktor Hangya, Matthias Huck, Alexander M. Fraser

Abstract: We describe LMU Munich’s unsupervised machine translation systems for English↔German translation. These systems were used to participate in the WMT18 news translation shared task and more specifically, for the unsupervised learning sub-track. The systems are trained on English and German monolingual data only and exploit and combine previously proposed techniques such as using word-by-word translated data based on bilingual word embeddings, denoising and on-the-fly backtranslation.